... be considered as a future work. 02 11 2009 16 03 2011 11 11 2011 11 11 2011 cooling die casting finite element analysis mechanical engineering computing neural nets temperature distribution die casting die thermal analysis system identification neural networks...

...) hydrodynamics mechanical engineering computing neural nets polynomial approximation recursive estimation underwater vehicles vehicle dynamics Volterra equations 08 09 2008 18 11 2009 02 02 2010 02 02 2010 2010 American Society of Mechanical Engineers ...

... 2005 08 11 2007 01 08 2008 adaptive Kalman filters fault diagnosis neural nets parameter estimation variable structure systems Parameter estimation Variable structure systems Kalman filter Consider an increasingly important application of parameter estimation...

... mechanical engineering computing neural nets sensors Stringent exhaust emission regulations worldwide have caused the introduction of a considerable degree of complexity within heavy-duty engines, resulting in an increasing dependency on sensors. This, in turn, caused a global ongoing effort...

... nonlinear hydraulic manipulators performing a common task. 23 06 2006 25 01 2007 control engineering computing decentralised control hydraulic actuators learning (artificial intelligence) manipulators motion control neural nets One aspect of robotics research that continues...

... strategy is developed. Simulation and experimental results show that the proposed model works well over a wide operating range. 27 04 2004 04 02 2006 drilling neural nets force fuzzy set theory Drilling is one of the most common machining operations, and accounts for up to 50...

... jets power transmission (mechanical) design engineering flow control distributed control mechanical engineering computing neural nets spool valve fluid control systems discharge coefficient jet angle variable force solenoid (VFS) gray box nondimensional artificial neural network...

... that SMAs can be effective actuators for miniature surgical robotic systems, and that intelligent control can be used to accurately control the trajectory of these systems. 25 08 2003 21 12 2004 medical robotics surgery end effectors neural nets intelligent control robot vision...

... neural nets road safety road accidents mechanical engineering computing The safe operation of articulated heavy vehicles has been a major concern due to their large size and weight. Recent statistics on truck and bus crashes ( 1 ) show that rollover occurred in 53.8% of the first harmful event...

... 2003 05 08 2004 computerised monitoring acoustoelectric transducers feature extraction neural nets fault diagnosis power transmission lines data analysis conductors (electric) acoustic signal processing The utility industry is expected to deliver reliable, uninterrupted...

... a conventional two-layer network model. Both the hybrid and conventional neural net models are trained and tested with experimental data collected from an SAE#2 test stand. The results show that the performance of the hybrid model is much superior to that of the conventional model. It successfully captures...

.... Voulgaris. 08 March 2000 26 June 2002 18 09 2003 internal combustion engines automobiles nonlinear control systems predictive control transient response feedforward neural nets approximation theory This paper considers an approach to designing a model predictive...

..., 2000. Associate Editor: S. Sivashankar. 28 August 2000 electric vehicles road vehicles neural nets pattern recognition real-time systems Taguchi methods Figure 4 shows the schematic diagram of the multi-mode driving control. First of all, control parameters in each...

... signal processing neural nets sensors chaos Online damage prediction and estimation are essential for enforcing real-time control of mechanical systems, particularly manufacturing processes. Tool wear, especially flank wear, adversely impacts the accuracy and surface finish of machined...

... without cart. ( a ) Simulated, ( b ) measured. 10 Set position control responses with cart. ( a ) Simulated, ( b ) measured. hydraulic control equipment electrorheology valves neural nets feedback control systems A hydraulic system is very important for a large number...

.... Contributed by the Dynamic Systems and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS . Manuscript received by the Dynamic Systems and Control Division July 3, 1997. Associate Technical Editor: A. Sinha. 03 July 1997 digital simulation neural nets identification nonlinear...